Sinan Uğur Umu
Sinan Uğur Umu
Cancer Registry of Norway, Oslo, Norway
Verified email at kreftregisteret.no - Homepage
TitleCited byYear
Robust identification of noncoding RNA from transcriptomes requires phylogenetically-informed sampling
S Lindgreen, SU Umu, ASW Lai, H Eldai, W Liu, S McGimpsey, ...
PLoS computational biology 10 (10), e1003907, 2014
302014
A comprehensive profile of circulating RNAs in human serum
SU Umu, H Langseth, C Bucher-Johannessen, B Fromm, A Keller, ...
RNA biology 15 (2), 242-250, 2018
292018
A comprehensive benchmark of RNA–RNA interaction prediction tools for all domains of life
SU Umu, PP Gardner
Bioinformatics 33 (7), 988-996, 2017
242017
Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea
SU Umu, AM Poole, RCJ Dobson, PP Gardner
eLife 5, 2016
192016
A probabilistic approach to microRNA-target binding
H Oğul, SU Umu, YY Tuncel, MS Akkaya
Biochemical and biophysical research communications 413 (1), 111-115, 2011
142011
A high-resolution map of the human small non-coding transcriptome
T Fehlmann, C Backes, J Alles, U Fischer, M Hart, F Kern, H Langseth, ...
Bioinformatics 34 (10), 1621-1628, 2017
52017
TaME-seq: An efficient sequencing approach for characterisation of HPV genomic variability and chromosomal integration
S Lagström, SU Umu, M Lepistö, P Ellonen, R Meisal, IK Christiansen, ...
Scientific reports 9 (1), 524, 2019
22019
A meta-analysis of bioinformatics software benchmarks reveals that publication-bias unduly influences software accuracy
PP Gardner, JM Paterson, FA Ghomi, SUU Umu, S McGimpsey, A Pawlik
BioRxiv, 092205, 2017
22017
Trainer: A general-purpose trainable short biosequence classifier
H Oğul, A Kalkan, S Umu, M Akkaya
Protein and Peptide Letters 20, 1108-1114, 2013
22013
PO-096 Natural variation in serum small non-coding RNAs–potential biomarkers of cancer
SU Umu, R Lyle, H Langseth, TB Rounge
ESMO Open 3 (Suppl 2), A263-A264, 2018
12018
TaME-seq
S Lagström, SU Umu, M Lepistö, P Ellonen, R Meisal, IK Christiansen, ...
Scientific Reports, 2019
2019
Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity
TB Rounge, SU Umu, A Keller, E Meese, G Ursin, S Tretli, R Lyle, ...
Scientific reports 8 (1), 17650, 2018
2018
PO-073 Small non-coding RNA in serum from testicular germ cell tumour patientsidentified by machine learning
J Burton, H Hammer, S Umu, H Langseth, T Grotmol, T Grimsrud, ...
ESMO Open 3 (Suppl 2), A255-A256, 2018
2018
Impact of age, sex, smoking, body mass and physical activity on circulating small non-coding RNA expression profiles
TB Rounge, SU Umu, A Keller, E Meese, G Ursin, S Tretli, R Lyle, ...
Cancer Research 78 (13 Supplement), 524-524, 2018
2018
Natural avoidance of stochastic mRNA: ncRNA interactions can be harnessed to control protein expression levels
SU Umu, AM Poole, RCJ Dobson, PP Gardner
bioRxiv, 033613, 2016
2016
Investigating prokaryotic transcriptomes and the impact of crosstalk between noncoding RNA and messenger RNA interactions
SU Umu
University of Canterbury, 2016
2016
mmDB: A repository of paired microRNA-messengerRNA expression profiles
B Oğul, Y Tuncel, S Umu, M Akkaya, H Oğul
7th International Sympoisum on Health Informatics and Bioinformatics, 2012
2012
A PROBABILISTIC METHOD FOR PREDICTION OF MICRORNA-TARGET INTERACTIONS
H Oğul, SU Umu, YY Tuncel, MS Akkaya
International Conference on Neural Computation Theory and Applications 2 …, 2011
2011
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Articles 1–18